Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Prominence of technological interventions in healthcare quality and hyper-personalisation: Unravelling the criticality of A.I., IoT & IoMT
0
Zitationen
3
Autoren
2026
Jahr
Abstract
In the quest to enrich healthcare quality with technological innovations, modern healthcare trends have leveraged Artificial intelligence (A.I.) and the Internet of Things (IoT) to hyper-personalise treatment designs and care outcomes. An integrative perspective of A.I. & IoT is becoming imperative for modern organisations to create myriad touchpoints in a cyber-physical environment that monitors clinical data perpetually and synthesises them to develop meaningful recommendations for patients and providers. Combining technology and user-generated inputs is vital in establishing a patient-centric culture. Patients play a deterministic role in their healthcare protocols and witness the consequences of their actions in the form of treatment effective-ness. In tandem with value-based care (VBC) and health information technologies (HITs), interventions provided through A.I. have a prolific presence across the clinical periphery by ensuring qual-ity through technologies. This study adheres to the PRISMA re-porting guidelines to showcase diverse applications and utilities of smart healthcare technologies. Additionally, it reveals poten-tial barriers that deter both users and organisations from imple-menting such technologies into practice. The discussions mainly focus on the ways in which these applications can enhance the quality of healthcare services through care-personalisation and technological interceptions.
Ähnliche Arbeiten
Amazon's Mechanical Turk
2011 · 10.016 Zit.
The Transtheoretical Model of Health Behavior Change
1997 · 7.641 Zit.
COVID-19 and mental health: A review of the existing literature
2020 · 3.699 Zit.
Cognitive Therapy and the Emotional Disorders
1977 · 2.931 Zit.
Mental health problems and social media exposure during COVID-19 outbreak
2020 · 2.781 Zit.